Test Organizations

Test Organizations
TestOrgNumber EIN Name State MajorGroup NTEE.CC TotalExpense CEOCompensation
1 237392118 THE LEARNING CENTER AT PIPER’S HILL CT 2 B20 2221843 92539.91
2 350868101 HUNTINGTON UNIVERSITY IN 11 B43 42079670 408004.44
3 208969896 BROWN COUNTY ORAL HEALTH PARTNERSHIP WI 4 E99 3744664 116212.53
4 160743979 NICHOLAS H NOYES MEMORIAL HOSPITAL NY 12 E22 59517721 223204.75
5 260317963 REDLINE CO 1 A40 1752816 118630.15
6 943019570 THE PROTEIN SOCIETY CA 7 U03 1200932 173402.65
7 205935069 QUIT DOC RESEARCH AND EDUCATION FL 2 B05 1661923 89324.41

Weight Sets

Weight Set 1

level geo r.mission s.mission
1 1 1 1
2 1 1 1
3 1 1 1
4 1 1
5 1

Weight Set 2

level geo r.mission s.mission
1 2 3 3.0
2 2 2 2.0
3 1 1 1.0
4 1 1.0
5 0.5

Weight Set 3

level geo r.mission s.mission
1 5 5 5.0
2 2 2 2.0
3 1 1 1.0
4 1 1.0
5 0.5

Basic Comparison Plots

X facet (columns) is weight set number, Y facet (rows) is test org number.

Total Distance = \(\frac{1}{3}\) ( log(expense distance ) + geo distance + mission distance)

The red line is the value for the comparison org that has rank 1000 in total distance.

These are the plots for the unnormalized distances

These are the plots for the normalized distances

Correlation Plots

Proxy Subway plot

These plots display the unnormalized distance


Test Set 1
[1] “Correlations for Test Org 1”

First Weight Set Second Weight Set corr(Distance) cor(Rank)
1 2 0.99009 0.99829
1 3 0.99008 0.99828
2 3 0.99998 1.00000


Test Set 2
[1] “Correlations for Test Org 2”

First Weight Set Second Weight Set corr(Distance) cor(Rank)
1 2 0.99727 0.99446
1 3 0.99349 0.98548
2 3 0.99893 0.99733


Test Set 3
[1] “Correlations for Test Org 3”

First Weight Set Second Weight Set corr(Distance) cor(Rank)
1 2 0.96635 0.94893
1 3 0.96640 0.94915
2 3 0.99998 0.99993


Test Set 4
[1] “Correlations for Test Org 4”

First Weight Set Second Weight Set corr(Distance) cor(Rank)
1 2 0.97732 0.97444
1 3 0.97733 0.97447
2 3 0.99999 0.99997


Test Set 5
[1] “Correlations for Test Org 5”

First Weight Set Second Weight Set corr(Distance) cor(Rank)
1 2 0.98080 0.99163
1 3 0.98079 0.99158
2 3 0.99999 0.99997


Test Set 6
[1] “Correlations for Test Org 6”

First Weight Set Second Weight Set corr(Distance) cor(Rank)
1 2 0.98778 0.99665
1 3 0.98776 0.99663
2 3 0.99998 0.99999


Test Set 7
[1] “Correlations for Test Org 7”

First Weight Set Second Weight Set corr(Distance) cor(Rank)
1 2 0.99761 0.99610
1 3 0.99487 0.99106
2 3 0.99931 0.99870